PowerFeed operation of simulated moving bed units: changing flow-rates during the switching interval

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Abstract

A possible way to improve the separation performance of simulated moving bed (SMB) units is to change the internal and external liquid flow-rates during the switching period. This operation mode, referred to as PowerFeed, is examined in this work through a model analysis. Similar to the Varicol process, which allows for the asynchronous movement of the ports, the PowerFeed process exhibits more degrees of freedom than the classical SMB process and therefore allows more room for optimization. Using an optimization technique based on a genetic algorithm, all three processes have been optimized for a few case studies in order to determine their relative potentials. It is found that PowerFeed and Varicol provide substantially equivalent performances, which are however significantly superior to those of the classical SMB process.

Introduction

Simulated moving beds (SMBs) have been introduced [1] as a practical implementation of continuous countercurrent units, i.e., the so-called true moving beds (TMBs), in order to solve the problems associated with the movement of the solid. An SMB unit consists of a series of fixed bed columns connected in a circle and divided in four sections by two inlet ports (feed and eluent) and two outlet ports (raffinate and extract), as shown in Fig. 1. The countercurrent movement between the mobile phase and the stationary phase is simulated by synchronously moving the inlet and outlet ports in the same direction of the mobile phase flow. This unit, originally developed for the bulk separation of hydrocarbons, and subsequently extended to sugars, has been more recently applied to a wide range of separations and purifications, particularly in the pharmaceutical and fine chemical industries.

In order to make SMB units more efficient and competitive, several new operation modes have been introduced. These include supercritical fluid SMB [2], [3], [4], [5], temperature gradient SMB [6], solvent gradient SMB [7], [8], [9] and multifraction SMB [10], [11]. The first three improve the separation performance by properly changing the adsorption strength of the solute in the different sections of the unit. This is done by creating along the unit a gradient of pressure, temperature or solvent composition, respectively. Multifraction SMB units are based on the idea of increasing the number of purified fractions leaving the unit by increasing the number of sections, that is, for example in the case of Nicolaos et al. [10], [11] a five+four section unit for a three-component separation.

Another direction which has been taken to improve SMB performance is based on the idea of operating it under more complex forced dynamic conditions. In this context, the SMB unit is not regarded as an approximation (through appropriate discretization) of the TMB unit, but is regarded simply as a unit with many degrees of freedom that can be optimized to improve its performance. The first step in this direction is the Varicol unit [12], [13], where the inlet and outlet ports are shifted asynchronously. This means that the unit is not any longer equivalent to a TMB, but that now it has some more parameters to be optimized, i.e., the switching times of the single inlet and outlet streams. A second possibility has been proposed originally in a patent [14] and more recently by Kloppenburg and Gilles [15] and Zang and Wankat [16], by considering fluid flow-rates changing in time during the switching period. In some sense these two processes can be traced back to a common origin, in that they force a time change during the switching period in either the solid or the fluid flow-rates, which are typically considered constant in TMB units and in the corresponding equivalent SMB units.

In this work, the possibility of changing the fluid flow-rates within the switching period, which we refer to in the following as “PowerFeed” operation, is investigated in detail, using multiobjective optimization technique. The optimal performances that can be achieved by the PowerFeed operation are compared with the corresponding ones given by Varicol and the classical SMB. The aim is to provide a clear picture, although inevitably confined to the cases examined, of the relative potential of these three operation modes.

As mentioned above, in the classical operation mode of the four-section SMB shown in Fig. 1, all the inlet (F and D), outlets (R and E) and internal flow-rates (Q1Q4) are kept constant, while in the PowerFeed operation mode they change in time during the switching period. Actually, since only four of them are independent, in the following we force at most four flow-rates (Q1, Q2, F and D) to vary in time, while the other four follow from the mass balance (Q3=Q2+F, Q4=Q1D, R=Q3Q4, E=Q1Q2). Although in principle these changes can be continuous in time, in this work, for computational convenience, we consider discontinuous changes, i.e., we assume that each flow-rate can change S times in a switching period ts, each time taking a constant value. An example of PowerFeed operation is illustrated by the scheme in Fig. 2, where Q1 is kept constant while Q2, D and F are forced to take different values in three subintervals of the switching period ts. As a consequence, E, Q3, R and Q4 also change three times in each switching interval.

Section snippets

Modeling and optimization of SMB, Varicol and PowerFeed processes

The same stage-in-series model described by Zhang et al. [17] has been adopted to simulate the SMB, Varicol and PowerFeed processeses, with a slight obvious revision, which enables the column flow-rates to change in time.

The separation problem taken as a case study requires the simultaneous maximization of the raffinate (PR) and the extract purity (PE) for a given feed, F, and eluent, D flow-rate, and a fixed configuration of the unit. In addition, in order to guarantee the same stationary

Nonlinear system

The first separation problem used in this work is the same chiral separation reported by Ludemann-Hombourger et al. [12], which has been examined earlier in the context of SMB and Varicol processes [17] and is described by the following modified Langmuir isotherm:qA=2.63cA+1.35cA1+0.0647cB+0.04655cAqB=2.2cB+1.23cB1+0.0647cB+0.04655cA

Concluding remarks

In this work we have considered four separation problems, involving both linear and nonlinear adsorption isotherms, and for each of them we have optimized and compared the SMB, the Varicol and the PowerFeed processes. The results show that the PowerFeed and the Varicol processes provide always significantly improved performances with respect to SMB, and that the extent of the improvement is larger for more difficult separations. This is due to the increased complexity of these two operation

Nomenclature

    c

    Liquid phase concentration (g/l)

    D

    Eluent flow-rate (ml/min)

    E

    Flow-rate of extract stream (ml/min)

    F

    Feed flow-rate (ml/min)

    Hi

    Henry constant of component i

    J

    Objective function

    m

    Flow-rate ratio parameter

    Ncol

    Total number of columns

    NNTP

    Number of theoretical plates

    PE

    Purity of extract stream (%)

    PR

    Purity of raffinate stream (%)

    q

    Solid-phase concentration (g/l)

    Qj

    Fluid flow-rate in section j (ml/min)

    R

    Flow-rate of raffinate stream (ml/min)

    S

    Number of subintervals

    ts

    Switching time (min)


    Symbols
    χ

    Column configuration

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    Citation Excerpt :

    When some of these fixed operating parameters and characteristics are relaxed, many operation modes or variants, which are more efficient than the conventional SMB process, are produced, as described anywhere [1,5,10,18]. Some of the most relevant and popular operation modes are PowerFeed, ModiCon, and VariCol processes obtained by the periodic modulations of feed flow rate, feed concentration, and the length of zones, respectively [11,19–23]. These operation modes can also be combined to create new hybrid variants with more exciting properties than separately [24,25].

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